About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Gen AI Engineer based in India.
Responsibilities
- Design, develop, and implement scalable AI and Generative AI solutions aligned with business and product requirements.
- Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows.
- Partner directly with customers, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
- Translate ambiguous business requirements into practical AI architectures, prototypes, and production-ready implementations.
- Develop, test, deploy, and optimize AI models and applications across cloud and enterprise environments.
- Integrate foundation models and LLM APIs into scalable applications while considering performance, reliability, security, and cost.
- Evaluate emerging Generative AI technologies, frameworks, and models and assess their suitability for specific business use cases.
- Troubleshoot model and application issues while continuously improving quality, latency, scalability, and accuracy.
- Collaborate with software engineers, data scientists, product managers, and other stakeholders to deliver end-to-end AI solutions.
- Develop reusable components, APIs, tools, and frameworks that accelerate the deployment and adoption of AI applications.
- Establish effective evaluation, monitoring, testing, and observability practices for AI and LLM-based systems.
- Stay current with developments in Generative AI, LLMs, AI agents, model orchestration, and enterprise AI deployment.
Requirements
- 5–13 years of professional experience in software engineering, Artificial Intelligence, Machine Learning, or related technical fields.
- Strong hands-on experience developing AI and Generative AI applications.
- Solid understanding of Large Language Models, foundation models, prompt engineering, model APIs, and AI application architecture.
- Proven ability to take AI solutions from experimentation and prototyping through production deployment.
- Strong forward deployment engineering mindset, with the ability to work directly with users or customers and rapidly develop solutions around their requirements.
- Strong programming fundamentals and software engineering expertise.
- Experience designing scalable, reliable, secure, and maintainable AI-powered systems.
- Ability to independently investigate technical problems, navigate ambiguity, and deliver solutions in rapidly changing environments.
- Strong communication and collaboration skills, particularly when working with both technical and non-technical stakeholders.
- Experience with LangChain or comparable LLM orchestration frameworks is advantageous.
- Hands-on experience building Agentic AI systems, autonomous workflows, or AI agents is a plus.
- Experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, and document-processing pipelines is desirable.
- Familiarity with AI evaluation frameworks, observability, guardrails, and LLM application monitoring is beneficial.
- Experience with cloud platforms and modern deployment practices such as Docker, Kubernetes, and CI/CD is preferred.
- Exposure to multi-agent architectures, tool calling, function calling, and workflow orchestration is an advantage.
Conditions
- Freelance / contract engagement.
- Remote working opportunity within India.
- Compensation range of ₹10,00,000–₹65,00,000 per year, as stated in the original posting.
- Opportunity to work on advanced AI and Generative AI initiatives.
- Exposure to LLMs, AI agents, RAG, model orchestration, and emerging AI technologies.
- Direct collaboration with customers, product teams, software engineers, and other technical stakeholders.
- Opportunity to work on AI solutions from early experimentation through production deployment.
- Flexible environment suited to experienced engineers who value autonomy and ownership.