Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT.

With Intelligent

Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

Role summary Implements AI and Forward Deployed Engineering capabilities across client-facing feature suites, combining hands-on GenAI engineering with solution deployment, integration, configuration, and field feedback loops. The role focuses on building and adapting RAG, GraphRAG, agentic workflows, orchestration integrations,



and data-connected AI features so they work reliably in real enterprise environments.

Key responsibilities

- Develop and configure AI-enabled features across assigned client-facing capability suites
- Implement RAG, GraphRAG, prompt workflows, agent routing, and retrieval pipeline integrations
- Work directly with product, business, data, and engineering stakeholders to translate field requirements into deployable technical solutions
- Build dynamic query-generation and graph-aware retrieval capabilities for knowledge-graph-backed use cases
- Integrate AI capabilities with backend APIs, orchestration services, vector stores, enterprise data sources, and platform services
- Validate outputs against golden datasets, acceptance criteria, grounding rules, and enterprise quality expectations
- Support field deployment, configuration, troubleshooting, demos, UAT feedback, and production-readiness activities
- Document solution behavior, deployment assumptions, known limitations, and upgrade paths for future releases

Required skills & experience
- 5+ years hands-on AI, ML, data, backend, or solution engineering experience, with strong Python fundamentals
- Practical experience building GenAI / LLM applications using RAG, GraphRAG, prompt engineering, embeddings, and vector stores
- Experience integrating AI features with enterprise systems, APIs, data pipelines, orchestration layers, or workflow platforms
- Comfortable working in a Forward Deployed Engineering model, including client-facing discovery, rapid prototyping, field configuration, issue triage, and stakeholder demos




- Familiarity with agent frameworks such as LangGraph, LangChain, MCP-based integrations, or comparable orchestration patterns
- Ability to validate AI outputs using golden datasets, regression checks, grounding criteria, and measurable acceptance criteria
- Strong communication skills with the ability to explain technical trade-offs, implementation constraints, risks, and field observations to technical and business stakeholders

Preferred qualifications Experience delivering AI solutions in regulated, enterprise, healthcare, pharma, manufacturing, or data-governed environments

Compensation

Estimated Pay Range: Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.

Our Commitment to Diversity & Inclusion

At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment chance for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.

We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

📌 Senior AI/FDE Engineer (Hyderabad)
🏢 Milestone Technologies
📍 Hyderabad