Senior Software Engineer

Overview

Senior Software Engineer role in bp technology's AI organization, building scalable, production-grade AI-powered applications and platforms that deliver business value.

What you'll do

• Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
• Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
• Participate in multi-functional team initiatives, embedded with business stakeholders, to rapidly build and deploy AI solutions that solve high-priority business problems.
• Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
• Champion automation in workflows, from data management ingestion and preprocessing to evaluation, model integration and deployment.
• Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
• Stay ahead of emerging AI technologies, prioritizing practical application and delivery over experimental research.
• Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering standard processes across the organization.

What you'll need

• Extensive professional software engineering experience; ability to independently design and ship complex systems in production.
• Strong programming skills in Python, Java, or similar languages, with experience developing microservices, APIs, and backend systems.
• Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.
• Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
• Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
• Ability to move quickly while maintaining code quality, test coverage, and operational excellence.

Nice to have

• Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems.
• Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them.
• Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits.
• Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
• Experience building chatbots, search systems, or generative AI interfaces.
• Background in working within platform engineering or internal developer tools teams.
• Prior experience working in an embedded (forward-deployed) team model with business customers.
• Experience building production grade, reliable AI applications.

Details

• Location: Pune, India.
• Remote type: hybrid of office and remote working.
• Travel: up to 10% travel expected.
• Relocation assistance: eligible for relocation within country.
• Advertised as full time; flexible working arrangements may be considered.