Turing

Remote Haskell developer jobs

We, at Turing, are looking for talented remote Haskell developers who will be responsible for developing high-quality, maintainable, and robust software solutions. Get an opportunity to work with the leading Silicon Valley companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Ensure timely delivery of complex software solutions
  • Estimate resources and identify potential risks in achieving project goals
  • Visualize, articulate and solve complex problems
  • Write high-quality, testable, efficient code
  • Optimize Haskell code for better performance
  • Design and build flexible, scalable, and maintainable software systems

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of software development experience using Haskell (rare exceptions for highly skilled developers)
  • Familiarity with concepts like Recursion, Lambda functions, etc.
  • Working experience in other functional programming languages like Clojure, Scala, Erlang, etc.
  • Working knowledge of relational databases like PostgreSQL, MySQL, MS SQL Server, etc.
  • Experience working with APIs and third-party libraries
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of Big Data, Spark, Solr/ElasticSearch, and related technologies
  • Experience in developing scalable and high-load concurrent applications
  • Advanced analytical and problem-solving skills

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How to become a Haskell developer in 2023?

Haskell's official tagline declares it to be "a sophisticated, entirely functional programming language." If you're unfamiliar with functional programming, it's a programming paradigm based on Lambda Calculus, which provides a theoretical foundation for describing and evaluating functions. This declarative programming style replaces statements with expressions and focuses on "what to solve" rather than "how to solve."

When Haskell is described as a "purely functional" language, it refers to the fact that every function in Haskell is a mathematical function. Haskell Brooks Curry, the language's namesake, worked in the field of Combinatorial Reasoning (a notation aimed to eliminate the need for variables in mathematical logic), which laid the groundwork for functional programming. Because FP is built on Lambda Calculus, Haskell's purely functional language has the Greek letter lambda in its logo.

What is the scope in Haskell development?

Haskell is a combination of cutting-edge research with tried-and-true technologies. It holds a unique position at the crossroads of academics and industry. Garbage collection and native code generation are examples of features common in mainstream languages. Other characteristics, like purity and slow evaluation, are exclusively shared by niche languages. Haskell is the most important technology for producing high-quality software. Correctness, performance, and maintainability are the three most significant factors for judging software quality.

The language is simple to learn and has experienced a rise in usage over time. Haskell developer job's popularity in the technical world has gone up significantly in recent years.

What are the roles and responsibilities of a Haskell developer?

Working with the team to build up various tech stacks around Haskell, helping implement features and working on software development tasks, maximizing the robustness and scalability of solutions, writing clean and efficient codes, introducing best practices among team members, collaborating with the team through code reviews, and integrating software components with various third-party libraries are just a few of the responsibilities in a Haskell developer job.

They also help troubleshoot and debug different programming difficulties, reply to technical questions, successfully manage the deployment of upgrades and updates, evaluate and analyze programming logic coding challenges, and guide and coach junior team members, among other things. The responsibilities included in a Haskell developer job includes –

  • Creating and testing smart contracts, as well as standard apps.
  • Assisting in the development of best practices for new application architectures.
  • Creating tools and libraries to aid in the creation of applications.
  • Working with cutting-edge technology.
  • Systems Design, Formal Verification, Security, and Performance Analysis for Senior and Intermediates.
  • Software development and delivery within agreed-upon and realistic timeframes.
  • Working as part of a small development squad, working agilely, and assisting other team members as needed.
  • To meet project objectives, estimate resources and identify hazards.
  • Haskell knowledge and expertise in a business setting.
  • A collaborative working style in which you love working in groups as well as on your own when needed.
  • Motivated by the ability to work with little instruction and motivate more junior team members.

How to become a Haskell developer?

Learning any programming language is difficult at first. Especially if you've spent your entire career working in Java or Python and now want to transition to functional programming languages. You'll have to master a lot of new ideas when you first start learning Haskell. This is a strenuous job. You have to relearn how to program. If you're a complete novice, though, you have an edge. FP is difficult because it is so diametrically contrary to what most programmers are used to. Functional programming is rational in and of itself. We recommend balancing these three elements to get a good Haskell developer job:

  • Theory: It may be obtained through books or the Internet;
  • Interaction: There is no such thing as a flawless novel. You will always have questions after reading. An online course where you may ask a professor or other students for guidance is really beneficial;
  • Practice: In most online courses, you will be required to write some code. In addition, there are several platforms available nowadays where you may hone your programming skills.

Anyway, our argument is that you won't become a programmer in a hundred years if you study a Haskell handbook for 10 minutes every day. However, if you combine reading a manual with viewing at least 10 minutes of video courses every day and completing 10 minutes of real coding every day for a few months, you will be able to write something useful in Haskell.

Skills required to become a Haskell developer

The first step is to master the core skills that will help you land a high-paying Haskell developer job. Let's take a look at what you should be aware of.

1. Functional programming

Functional programming (commonly known as FP) is a style of thinking about software development in which pure functions are created. It avoids the shared state and mutable data ideas that are common in Object Oriented Programming. Expressions and declarations are prioritized in functional languages above statement execution. As a result, unlike other procedures that rely on a local or global state, the value generated in FP is solely determined by the parameters supplied to the function. Learning and mastering FP is quite relevant in a Haskell developer job as Haskell is also a functional programming language.

2. Scala

Scala is an acronym that stands for Scalable Language. It's a programming language with several paradigms. The Scala programming language combines functional and object-oriented programming techniques. It's a statically typed programming language. Its source code is converted to bytecode and run by the Java virtual computer (JVM). It is quite important to get familiar with Scala in a Haskell developer job.

3. Scheme

The Scheme Programming language is a high-level language, unlike Assembly languages. It's better to refer to it as an extremely expressive language. The syntax is significantly simpler to understand than Python or Ruby, but not quite as simple as Python or Ruby. The Scheme programming language works with vectors, strings, tuples, characters, and numeric components. The Scheme programming language offers a large number of data sets, making it very adaptable. Scheme Programming programmes are extremely portable across several systems. If you know and learn Scheme, you can really go very ahead with your Haskell developer job.

4. Git

Git is a free and open-source distributed version control system which is very relevant in a Haskell developer job. It can manage everything from tiny to extremely big projects with ease. Git is simple to understand and use, with a small footprint and lightning-quick performance. With capabilities like inexpensive local branching, accessible staging areas, and numerous workflows, it outperforms SCM solutions like Subversion, CVS, Perforce, and ClearCase.

5. Debugging skills

Debugging is a multistep process in computer programming and engineering that entails recognizing an issue, pinpointing the source of the problem, and then either repairing the problem or figuring out how to work around it. The final stage in the debugging process is to test the fix or workaround to ensure that it works. The debugging process in software development begins when a developer locates and reproduces a coding fault in a computer program. Debugging is an important aspect of the software testing process and the full software development lifecycle, even in a Haskell developer job.

How to get remote Haskell developer jobs?

While getting as much practical experience as possible, you must design an effective job-search strategy. Before you start looking for work, think about what you're looking for and how you'll utilize that knowledge to limit your options. When it comes to showing to employers that you're job-ready, it's all about getting your hands dirty and putting your skills to use. As a result, continuing to learn and improve is vital. You'll have more to talk about in an interview if you work on a lot of open-source, volunteer, or freelancing projects.

Turing has the top remote Haskell developer jobs accessible, all of which are tailored to your Haskell developer career goals. Working with cutting-edge technology to address complicated technical and business challenges will assist you in quickly expanding. Get a full-time, long-term remote Haskell developer job with greater income and professional progress by joining a network of the world's greatest engineers.

Why become a Haskell developer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their Haskell developers?

Every Haskell developer at Turing is free to determine their own fee. Turing, on the other hand, will propose a wage at which we are confident we can offer you a rewarding and long-term position. Our suggestions are based on our analysis of market circumstances and the demand we perceive from our clients.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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