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, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
