FDE - AI/Gen AI Engineer (3+ years of relevant experience)

Hitachi, Ltd.; Gurugram District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Flexible work schedules

Work from home options

Paid time off & holidays

Competitive salaries

Group health insurance

Maternity leave

Annual bonuses

Referral bonuses

Job summary

GlobalLogic is seeking an accomplished Forward Deployed Engineer to bridge AI research and production software, delivering scalable GenAI Search systems and agent-driven workflows.

You will work hands-on with partner teams to deploy high-impact AI solutions, write robust code, and contribute to core tooling while aligning with product strategy and field feedback.

Qualifications

• Bachelor’s or Master’s in Computer Science or equivalent.
• Production-quality coding experience.
• Experience with LLMs, Agent frameworks, and vector stores.
• Experience with cloud and microservices design.
• Strong communication with executives and partners.

Responsibilities

• Write production-grade code alongside strategic partners to build GenAI search systems and multi-agent architectures.
• Lead 6–8 week sprints delivering MVPs with tests and hardening.
• Develop agent harnesses and RAG pipelines using real-time search signals.
• Contribute to core tooling, SDKs, and search APIs.
• Channel partner requirements to product and engineering to reduce friction points.
• Identify platform gaps and implement fixes for the ecosystem.
• Build evaluation suites and benchmarks to measure search quality and latency.
• Implement prompting and grounding to minimize hallucinations.

Skills

Pro-Code Mastery

Python

CI/CD & Testing

LLMs & Agent Frameworks

LangChain

Vector Databases

Docker & Kubernetes

Distributed Systems

Cloud (GCP/AWS)

Cross-functional Communication

Education

Bachelor's or Master's in Computer Science

Tools

Docker

Kubernetes

Job description

Job Description

High-code Forward Deployed Engineering model (focusing on rapid, production-ready, hands-on integration) with the specific demands of modern AI-driven Search (Generative AI, Agentic workflows, RAG and multimodal capabilities).

Requirements

As a Forward Deployed Engineer (FDE), you will operate at the elite intersection of AI research, core software engineering and strategic deployment. Unlike traditional software engineers who focus purely on internal infrastructure, or traditional consultants who focus on high-level advisory, FDEs are hands-on builders who write production-grade code directly alongside strategic partners and enterprise builders.

You will be responsible for bridging the gap between cutting-edge Search AI capabilities (including frontier Language Models, Multimodal Search, and Autonomous Agents) and real-world adoption. You will embed deeply with high-stakes partner teams to accelerate the deployment of hardened, scalable AI systems, while channeling field insights directly back to our core engineering teams to improve our products.

Qualifications:
1. Pro-Code Mastery: Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience, with a track record of writing production-quality code.

2. Software Engineering Background: Deep proficiency in languages such as Python and familiarity with standard software development cycles (CI/CD, Git, testing frameworks).

3. GenAI/AI Stack Expertise: Hands-on experience building applications with Large Language Models (LLMs), Agent frameworks (e.g., Agent Development Kit, LangChain) and Vector databases.Minimumm 5 years of experience with 4+ years of relevant experience.

4. Adaptability & Tenacity: Ability to step into ambiguous, complex external developer environments and rapidly identify architectural bottlenecks.

5. Search & RAG Domain Expertise: Proven experience implementing complex Retrieval-Augmented Generation (RAG) pipelines, semantic search, or ranking optimizations at scale.

6. Distributed Systems Experience: Familiarity with cloud infrastructure (e.g., GCP, AWS), containerization (Docker, Kubernetes) and designing scalable microservices.

7. Cross-Functional & Partner Enablement: Strong engineering communication skills, with the ability to operate as a Technical Pod Lead and explain complex architectural trade-offs to both C-level executives and partner SWEs.

Job Responsibilities

Hands-On-Keyboard Strategic Co-Development

• Production-Grade Co-Builds: Write and commit production-ready code alongside strategic partners to architect mission-critical GenAI Search systems, custom multi-agent architectures, and bespoke reasoning engines.
• High-Velocity Sprints: Execute bounded, outcome-driven engineering sprints (typically 6-8 weeks) to deliver functional, high-performance MVPs with rigorous tests and deployment Hardening.
• Agentic Specialization: Build and optimize domain-specific agent harnesses, custom tools, and advanced Retrieval-Augmented Generation (RAG) pipelines that leverage real-time search signals.

Product Improvement & Core Contributions

• Codebase Contributions: Act as a core software engineer with direct commit access to enhance our public and internal developer tooling, GenAI SDKs, and Search API libraries.
• Field-to-Product Flywheel: Channel high-fidelity partner requirements, agentic design invariants, and failure modes directly back to Product Management and Core Engineering to resolve platform friction points.
• Eliminate Blockers: Identify systemic platform gaps observed during partner co-builds and proactively write features or bug fixes to address them for the broader ecosystem.

Search Quality, Evals, & Research Alignment

• Hill-Climbing and Evaluation: Build quantitative evaluation suites, autoraters, and domain-specific benchmarks to measure search quality, latency, token efficiency, and tool-calling reliability.
• Grounding & Adaptation: Implement optimal prompting strategies, grounding architectures, and fine-tuning recipes to eliminate hallucinations and ensure factual accuracy in Search outputs.
• Pre-Launch Stress Testing: Stress-test early-stage frontier models and search protocols against complex, real-world customer workflows before public launch.

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.