Thoughtworks
SeniorDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Developer at Thoughtworks. Skills: generative AI solutions, GenAI applications, RAG, Agents, Multi Agent Systems, AI/ML engineers, software engineers, GenAI framework, agentic framework, Retrieval-Augmented Generation (RAG) pipelines, vector databases, AI solutions on major cloud platforms, LLMOps, observability tools, fine-tuning, ML/NLP frameworks. designing and delivering complex generative AI solutions. Design, build and deploy GenAI applications using techniques such RAG, Agents, Mul”
What You'll Achieve.
delivering complex generative AI solutions; deliver reliable, scalable systems; ensuring they are well-structured, efficient and easy to maintain; improve accuracy, performance and cost for GenAI applications
Industry & Context.
Ability to independently solve complex, ambiguous technical problems; turn business needs into practical solutions
What They're Looking For.
Must Have
5+ Years of software engineering fundamentals, Python, CI/CD, testing, version control, clean code practices, Solid grasp of software design principles, ability to design and implement AI-powered components or workflows, at least one GenAI framework (e. g. , LangChain, LlamaIndex, Semantic Kernel), one agentic framework (e. g. , PydanticAI, LangGraph, AutoGen2), building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e. g. , FAISS, Pinecone, Weaviate), deploying AI solutions on major cloud platforms (AWS, Azure or GCP), basic use of containers (Docker), CI/CD pipelines, using LLMOps and observability tools (e. g. , Langfuse, PromptLayer, OpenTelemetry) in production, fine-tuning, use of ML/NLP frameworks such as PyTorch or Hugging Face Transformers, Ability to independently solve complex, ambiguous technical problems, collaborative skills, working effectively with diverse, cross-functional teams
Nice to Have
Exposure to fine-tuning and use of ML/NLP frameworks such as PyTorch or Hugging Face Transformers
What You'll Do.
designing and delivering complex generative AI solutions
build and deploy GenAI applications using techniques such RAG
Multi Agent Systems etc.
taking ideas from prototype to production
Work with both AI/ML engineers and software engineers to deliver reliable
Own key features or components
ensuring they are well-structured
efficient and easy to maintain
Make technical decisions and contribute to system design with attention to performance
Share knowledge and mentor junior team members
helping them grow their technical skills
Review code and provide clear
constructive feedback to peers
How You'll Work.
Team & Collaboration
Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems; Collaborate with product managers, designers and data scientists to turn business needs into practical solutions; Share knowledge and mentor junior team members, helping them grow their technical skills; Review code and provide clear, constructive feedback to peers; working effectively with diverse, cross-functional teams
Communication Scope
provide clear, constructive feedback to peers; Share knowledge
Full Job Description
We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices. Job responsibilities Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production. Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems. Own key features or components, ensuring they are well-structured, efficient and easy to maintain. Make technical decisions and contribute to system design with attention to performance, cost and reliability. Collaborate with product managers, designers and data scientists to turn business needs into practical solutions. Share knowledge and mentor junior team members, helping them grow their technical skills. Review code and provide clear, constructive feedback to peers. Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc. Understand optimization techniques to improve accuracy, performance and cost for GenAI applications. Job qualifications Technical Skills 5+ Years of strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices. Solid grasp of software design principles and ability to design and implement AI-powered components or workflows. Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2). Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with deploying AI solutions on major cloud platforms (AWS, Azure or GCP), with basic use of containers (Docker) and CI/CD pipelines. Experien
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