AI / ML Forward Deployed Engineer

Job Title: AI / ML Forward Deployed Engineer (FDE)

Location: Hyderabad

Reports To: CTO

About the Role:

We are looking for a highly skilled and adaptable AI / ML Forward Deployed Engineer (FDE) to bridge the gap between our cutting-edge AI technologies and real-world enterprise applications. In this role, you will not be working in an isolated research lab; instead, you will embed directly with our strategic enterprise clients to build, customize,

and scale AI production systems.

As the technical face of our company, you will own the “last-mile gap”turning complex data architectures, Large Language Models (LLMs), and machine learning frameworks into reliable, highly adopted business solutions that drive immediate value.

What You Will Do: (Responsibilities)

• Embed on the Front Lines: Partner directly with client engineering and business teams to understand their operations and deploy tailored AI solutions within their infrastructure.
• Build End-to-End AI Pipelines: Architect and implement production-grade machine learning workflows, including Retrieval-Augmented Generation (RAG) systems, multi-agent frameworks, fine-tuning, and vector database integrations.
• Bridge Legacy Systems & Modern AI: Seamlessly integrate our AI platforms with complex, messy, or legacy enterprise data environments and cloud architectures.
• Own System Observability & Evaluation: Tackle the non-deterministic nature of generative AI by creating robust evaluation benchmarks, continuous monitoring pipelines, and prompt-tuning workflows.
• Translate & Consult: Serve as the technical translator between executive stakeholders (C-suite) and backend engineering teams, converting high-level business goals into concrete technical milestones.
• Drive Adoption and Impact: Take full accountability for business outcomes, user adoption rates, and system scaling rather than just ticking off delivery checkboxes.

What We Are Looking For: (Requirements)

• Experience: 35+ years of professional experience as a Software Engineer, Data Engineer, or ML Engineer in a production environment (client-facing or consulting experience is a massive plus).
• Strong Coding Fundamentals: Expert proficiency in Python is required. Familiarity with languages like TypeScript is highly valued.
• AI/ML & GenAI Stack: Hands-on experience building with modern AI tools such as PyTorch, LangChain, LlamaIndex, Hugging Face, vector databases (e.g.,Pinecone, Milvus, Qdrant), and prompt engineering frameworks.
• Cloud & DevOps Architecture: Solid experience with cloud infrastructure (AWS, Azure, or GCP) along with containerization and orchestration tools like Docker and Kubernetes.
• Enterprise Data Proficiency: Strong data modeling skills, including experience with SQL/NoSQL databases, data pipelines (Airflow, Spark), and ETL processing.
• Communication & Empathy: Exceptional emotional intelligence (EQ) and communication skills. You can explain complex AI concepts to non-technical stakeholders and maintain composure in high-stakes environments.
• Travel: Willingness to travel up to [X%] to client sites as required. Nice-to-Haves
• A degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
• Experience deploying AI applications in highly regulated industries (e.g., Finance, Healthcare, Government) with strict security/privacy requirements.
• Contributions to open-source AI/ML projects or frameworks.