Job Title: Generative AI Engineer / Lead
Experience Range: 5-14 years
Job Summary:
Coforge is looking for a Gen AI engineer to build both Traditional AI/ML as well as Generative AI and Agent based systems. The candidate should be highly skilled in programming & statistics with the ability to confidently assess, analyze, and organize large amounts of data.
Technical Skills:
- Hands on experience with building solutions using the language models, machine learning and AI models leveraging industry tools, products, and cognitive services
- Expertise in writing clean, efficient, and scalable Python code, with strong understanding of asynchronous programming, APIs, and modular design.
- Hands-on experience with frameworks like LangChain, LangGrpah, LlamaIndex, or Haystack, and integrating large language models (e.g., OpenAI, Gemini, Vertex, Bedrock, Anthropic, Mistral) into real-world applications
- Ability to design and optimize prompts, build autonomous agents, and orchestrate multi-step reasoning using tools like AutoGen, LangGraph or CrewAI
- Experience in building and managing agent ecosystems that interact with APIs, databases, and external tools to accomplish goals
- Experience deploying GenAI solutions on cloud platforms (AWS, Azure, GCP), with familiarity in containerization (Docker), CI/CD, and model lifecycle management.
- Deep and hands-on expertise in undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data
- Independently build and demo rapid generative AI demos and solutions with short notices
- Expertise in completions, embeddings, edits, transcriptions, translations, fine-tunes, and moderations across the several large language models especially those of OpenAI, Bedrock or Vertex
Behavioural Skills:
- Passionate about technology and customer success with excellent communication and articulation skills
- Bring innovation by coming up ideas, differentiators, and development of tools / accelerators to differentiate us in the market.
- Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
- Research, curate, and record tutorials on various applications of data science and machine learning
