Senior Software Engineer (AI)

• Design, develop, and deploy AI-powered applications by leveraging Large Language Models (LLMs), Agentic AI, and modern AI frameworks.

• Build/leverage enterprise-grade AI assistants and copilots to accelerate software development, testing, documentation, customer support, and operational workflows.

• Design and implement Retrieval Augmented Generation (RAG), semantic search, vector search, and enterprise knowledge solutions.

• Develop AI agents and orchestrate multi-agent workflows using modern AI frameworks and Model Context Protocol (MCP).

• Build scalable AI services and APIs that integrate seamlessly with enterprise applications and data platforms.

• Evaluate emerging AI models, frameworks, and technologies, providing technical recommendations and proof-of-concepts.

• Collaborate with cross-functional teams to identify high-value AI use cases and drive successful implementation.

• Establish best practices for prompt engineering, LLM evaluation, governance, security, and responsible AI adoption.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related discipline.

• 6+ years of professional software engineering experience, including hands-on experience designing and delivering enterprise-grade AI solutions.

• Proven expertise in Generative AI, LLM integration, RAG, AI Agents, cloud-native application development, and modern data platforms.

• Experience with enterprise data management platforms, Databricks, Spark, AWS, and distributed systems will be a significant advantage.

• Hands-on experience developing production-grade AI solutions using leading LLMs such as OpenAI, Claude, Gemini, Llama, or similar models.

• Strong experience with Prompt Engineering, Retrieval Augmented Generation (RAG), AI Agents, embeddings,semantic search, and vector search.

• Experience implementing enterprise AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, or equivalent.

• Experience building AI agents using Model Context Protocol (MCP) and integrating external tools and enterprise systems.

• Knowledge of AI evaluation techniques, guardrails, observability, and LLMOps best practices.

• Strong programming experience in Python with proficiency in SQL, REST APIs, and either Java or .NET.

• Experience developing scalable, cloud-native microservices and enterprise applications.

• Strong understanding of software design principles, APIs, testing strategies, and system integration.

• Experience working with enterprise data platforms such as Databricks, Snowflake, Apache Spark, Delta Lake, Apache Iceberg, and AWS.

• Experience with cloud storage technologies including Amazon S3 and vector databases such as Pinecone, Chroma, Milvus, or similar.

• Good understanding of modern data lakehouse architectures and enterprise data management principles.

• Experience designing and optimizing ETL/ELT pipelines using technologies such as Python, SQL, Spark, Airflow, or dbt is desirable.

• Experience building and operating large-scale distributed systems in cloud environments.

• Experience with DevOps practices, CI/CD pipelines, Infrastructure as Code, and observability platforms.

• Strong scripting and automation skills using Python, Bash, or PowerShell, with exposure to AI-assisted automation.

• Experience designing scalable technical architectures and communicating complex technical concepts to both technical and non-technical stakeholders.

• AWS, Databricks, Azure AI, or equivalent cloud certifications are advantageous.

• Experience in Enterprise Data Management, Master Data Management (MDM), Financial Services, or Capital Markets is highly desirable.

• Strong analytical and problem-solving abilities with a passion for AI-driven innovation.

• Excellent communication, stakeholder management, and cross-functional collaboration skills.

• Demonstrated technical leadership and the ability to mentor engineers and drive engineering best practices.

• Ability to manage multiple priorities and deliver high-quality solutions in a fast-paced environment.

• Curiosity, continuous learning mindset, and enthusiasm for emerging AI technologies.