SourcingXPress
Website:
sourcingxpress.com
Company:
https://www.linkedin.com/company/sourcingxpress
Seniority: Not Applicable
Industries: Technology, Information and Internet
Job details:
Company: Valued Client of JustHR
Website: Visit Website
Business Type: Enterprise
Company Type: Product & Service
Business Model: B2B
Funding Stage: Series B
Industry: Information Technology
Salary Range: ₹ 40-60 Lacs PA
Job Description:
Job Description – Forward Deployed Engineer (FDE)
Location: Bengaluru / Mumbai
We are looking for highly skilled Forward Deployed Engineers (FDEs) who are passionate about solving complex business challenges using Artificial Intelligence and modern software engineering.
Unlike traditional software engineering roles, this position combines engineering, solution architecture, consulting, and customer engagement. You will work directly with enterprise customers to understand their business processes, identify opportunities for AI-driven transformation, and design production-ready solutions that create measurable business impact.
As an FDE, you will own the complete lifecycle of customer engagements—from understanding business problems and designing scalable architectures to building, deploying, monitoring, and continuously improving AI-powered applications and autonomous agents.
This is an ideal opportunity for engineers who enjoy solving ambiguous problems, working across multiple technologies, interacting with customers, and delivering end-to-end solutions rather than isolated software components.
Key Responsibilities
Customer Discovery & Solution Design
- Collaborate directly with enterprise customers to understand their business operations, workflows, pain points, and strategic objectives.
- Conduct technical discovery sessions to identify automation opportunities.
- Translate complex business challenges into scalable AI-powered technical solutions.
- Define solution architecture, workflows, integrations, and deployment strategies.
- Create technical proposals, architecture diagrams, and implementation plans.
AI Solution Development
- Design and develop AI-powered applications and intelligent agents.
- Build systems utilizing Large Language Models (LLMs) for real-world enterprise use cases.
- Develop autonomous AI workflows capable of reasoning, retrieving information, executing actions, and interacting with external systems.
- Implement Retrieval-Augmented Generation (RAG) pipelines where required.
- Design prompt engineering strategies and evaluation frameworks.
- Build reusable AI components for future customer implementations.
Software Engineering
- Develop clean, maintainable, and production-grade backend services.
- Design scalable APIs and microservices.
- Integrate enterprise platforms through REST APIs, GraphQL, SDKs, and webhooks.
- Build reliable data pipelines between internal and third-party systems.
- Write automated unit, integration, and end-to-end tests.
- Follow engineering best practices including version control, code reviews, documentation, and CI/CD.
Enterprise Integrations
Integrate AI Solutions With Enterprise Platforms Such As:
- Salesforce
- SAP
- Microsoft Dynamics
- Oracle
- Workday
- ServiceNow
- Slack
- Microsoft Teams
- Google Workspace
- Jira
- Confluence
- Zendesk
- HubSpot
- Custom Internal APIs
Design Secure Authentication Mechanisms Including:
- OAuth
- JWT
- SAML
- API Keys
- Single Sign-On (SSO)
Deployment & Production Ownership
- Deploy AI applications into customer production environments.
- Monitor application health, reliability, latency, and scalability.
- Troubleshoot production incidents and performance bottlenecks.
- Improve deployment automation and release processes.
- Optimize AI inference costs and resource utilization.
- Continuously enhance system reliability through monitoring and observability.
Cross-functional Collaboration
Work Closely With:
- Product Managers
- Software Engineers
- Machine Learning Engineers
- Platform Engineers
- Customer Success Teams
- Enterprise Stakeholders
- Solution Architects
Communicate technical concepts effectively to both technical and non-technical audiences.
Continuous Improvement
- Gather customer feedback after deployment.
- Analyze business impact using measurable KPIs.
- Improve solution performance through iterative development.
- Contribute reusable frameworks, libraries, and internal best practices.
- Mentor junior engineers where applicable.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Electronics, Artificial Intelligence, or a related field.
- Minimum 6 years of professional software engineering experience.
- Strong understanding of software architecture and distributed systems.
- Experience designing scalable backend systems.
- Excellent analytical and problem-solving skills.
- Strong ownership mindset with the ability to independently drive projects.
- Comfortable working in ambiguous, fast-paced environments.
- Excellent verbal and written communication skills.
Required Technical Skills
Programming Languages
Strong Proficiency In One Or More:
- Python
- Java
- Go
- TypeScript
- C#
- Node.js
Backend Development
Experience With:
- REST APIs
- GraphQL
- Microservices Architecture
- Event-driven Systems
- Message Queues
- Distributed Systems
Databases
Experience With:
Relational Databases
- PostgreSQL
- MySQL
- SQL Server
NoSQL Databases
Vector Databases (Preferred)
- Pinecone
- Weaviate
- ChromaDB
- Milvus
Cloud Platforms
Hands-on Experience With One Or More:
- AWS
- Microsoft Azure
- Google Cloud Platform
Knowledge Of:
- Docker
- Kubernetes
- Terraform
- Serverless Computing
- CI/CD Pipelines
Artificial Intelligence
Experience Working With:
- Large Language Models (LLMs)
- OpenAI APIs
- Anthropic Claude
- Google Gemini
- Prompt Engineering
- AI Agents
- Function Calling
- Tool Use
- Retrieval-Augmented Generation (RAG)
- Semantic Search
- Embeddings
- AI Evaluation Frameworks
Integration Technologies
Experience Integrating With:
- Enterprise APIs
- OAuth
- SAML
- Webhooks
- Identity Providers
- CRM Systems
- ERP Platforms
Nice to Have
- Experience as a Forward Deployed Engineer.
- Solutions Engineering experience.
- Technical Consulting background.
- Enterprise Solution Architecture experience.
- Exposure to MLOps.
- Experience deploying AI agents in production.
- Experience building conversational AI systems.
- Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI, or similar AI orchestration frameworks.
- Experience with monitoring tools such as Datadog, Grafana, Prometheus, or OpenTelemetry.
- Knowledge of enterprise security and compliance practices.
Soft Skills
We are looking for engineers who demonstrate:
- Strong customer empathy.
- Excellent communication skills.
- Ability to simplify complex technical concepts.
- High ownership and accountability.
- Curiosity and continuous learning.
- Strong collaboration skills.
- Business-first thinking.
- Adaptability in dynamic environments.
- Attention to detail.
- Ability to influence without authority.
Success Metrics
You will be successful in this role if you can:
- Deliver AI-powered solutions that solve real customer problems.
- Deploy reliable production-ready systems.
- Reduce manual effort through intelligent automation.
- Improve customer productivity and operational efficiency.
- Build trusted relationships with enterprise customers.
- Deliver measurable business outcomes.
- Continuously improve deployed systems using real-world feedback.
Why Join Us?
- Work on cutting-edge AI technologies solving real enterprise problems.
- Partner directly with leading organizations across industries.
- Build production AI systems with tangible business impact.
- Collaborate with world-class engineers and product teams.
- Own projects from concept to deployment.
- Accelerate your growth across software engineering, AI, architecture, and customer consulting.
If you’re excited about building AI-powered systems, solving complex enterprise challenges, and owning solutions end-to-end, we’d love to hear from you.
Click on Apply to know more.
