Build and deploy production applications and AI-powered solutions from prototype to scale. Partner with business and product stakeholders, develop integrations, APIs, microservices, cloud-native services, and reusable engineering components. Own the full lifecycle from discovery and design through deployment, monitoring, adoption, and continuous improvement. Troubleshoot production issues, collaborate with security and infrastructure teams, and apply AI, Generative AI, LLMs, and data engineering to business problems.
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ด๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฌ-๐ด๐ฌ ๐๐ฃ๐)
Experience: 2+ yrs
Location: Bengaluru, Karnataka, India, Bengaluru
Job Type: Full-time
We are looking for a highly hands-on Forward Deployment Engineer to work at the intersection of engineering, product, AI, data, and business. The role focuses on taking technology from prototype to production by understanding real-world business problems, rapidly developing solutions, integrating them with enterprise systems, and deploying them into production environments.
The ideal candidate combines strong software engineering fundamentals with expertise in AI/ML, Generative AI, LLM applications, AI agents, and data engineering or analytics. You should be comfortable operating in ambiguous environments, working directly with stakeholders, and taking ownership of solutions from discovery through deployment, adoption, and scale.
Requirements
Key Responsibilities
- Work directly with business and product stakeholders to understand complex, ambiguous problems and translate them into technical solutions.
- Rapidly prototype, develop, integrate, and deploy production-quality applications and AI-powered solutions.
- Own solutions end-to-end, from discovery and technical design through development, deployment, adoption, and continuous improvement.
- Build applications and services using modern programming languages such as Python, Java, TypeScript/JavaScript, Go, or C#.
- Develop and integrate AI/ML, Generative AI, LLM applications, AI agents, and data-driven solutions.
- Design and consume REST APIs, microservices, distributed systems, and enterprise integrations.
- Integrate applications with existing platforms, APIs, databases, data sources, and enterprise systems.
- Develop reusable services, components, frameworks, and engineering patterns that can scale across teams.
- Work across the complete engineering lifecycle, including coding, testing, CI/CD, deployment, monitoring, and production support.
- Diagnose and resolve technical issues in live production environments.
- Collaborate with Architecture, Security, Platform, Infrastructure, and DevOps teams to ensure enterprise standards are met.
- Use experimentation, data, and stakeholder feedback to validate solutions and iterate rapidly.
- Identify opportunities to apply emerging technologies, particularly AI and GenAI, to meaningful business problems.
- Build cloud-native solutions using platforms such as GCP, AWS, or Azure.
- Document technical solutions, implementation approaches, learnings, and reusable patterns.
- Help transition successful prototypes into scalable and maintainable production capabilities.
- Contribute to engineering standards, development practices, and a culture of ownership and continuous improvement.
What Makes You a Great Fit
- 2+ years of professional software engineering experience with hands-on experience building production applications.
- Strong proficiency in at least one modern programming language such as Python, Java, TypeScript/JavaScript, Go, or C#.
- Strong hands-on experience with AI/ML, Generative AI, LLM applications, AI agents, and/or data engineering or analytics.
- Experience designing and developing REST APIs, microservices, distributed systems, and enterprise integrations.
- Strong understanding of databases, data structures, system integration, and scalable application architecture.
- Experience with cloud platforms such as GCP, AWS, or Azure.
- Familiarity with Git, CI/CD, automated testing, containers, and modern software development practices.
- Experience with Docker and/or Kubernetes is preferred.
- Strong understanding of observability, logging, monitoring, debugging, and production troubleshooting.
- Comfortable working with ambiguity and turning loosely defined business problems into working technical solutions.
- Ability to move quickly between discovery, prototyping, engineering, and production deployment.
- Strong customer and stakeholder orientation with the ability to work directly with senior technical and business stakeholders.
- Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences.
- Pragmatic engineering mindset with the ability to balance speed, scalability, reuse, and long-term maintainability.
- Strong ownership mindset focused on business outcomes and measurable impact, not only technical deliverables.
- Experience in financial services, regulated industries, enterprise transformation, DevOps/SRE, rapid prototyping, or cloud-native development would be an advantage.
- Bachelorโs or Masterโs degree in Computer Science, Engineering, Information Technology, or a related discipline is preferred.
Similar Jobs
Artificial Intelligence • Software • Conversational AI
Leads technical delivery of government voice AI deployments from scoping through launch and post-launch reporting. Owns architecture, integrations, security, hosting, compliance, RFP solutioning, technical bids, estimates, SLAs, demos, and executive stakeholder communication. Personally handles complex deployments while managing a forward-deployed engineering team. Requires hands-on software, cloud, API, SQL, monitoring, and LLM application expertise, plus frequent collaboration with product, engineering, government departments, and senior officials.
Top Skills:
Ai EvaluationAi GuardrailsAPIsAsrAWSCloud InfrastructureFunction CallingGCPIvrLlmsProduction MonitoringPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)SipSQLTtsTypescript
Artificial Intelligence • Information Technology
Leads customer-facing technical delivery as a hands-on software engineering owner. Designs and implements production-grade backend services, APIs, distributed systems, integrations, and GenAI applications involving LLMs, RAG, and agentic workflows. Owns architecture, reliability, observability, troubleshooting, customer rollouts, and technical escalations. Mentors engineers, establishes delivery standards, collaborates across product and research teams, and converts customer insights into reusable platform components and patterns.
Top Skills:
Agentic WorkflowsData PipelinesDistributed SystemsEvent-Driven InterfacesKnowledge Retrieval SystemsLarge Language Models (Llms)PythonRestful ApisRetrieval-Augmented Generation (Rag)Semantic SearchVector Databases
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Generative AI
Embed with enterprise customers to design, build, and deploy production GenAI applications on SambaNova hardware and SambaStack. Architect LLM workflows (RAG, agents, fine-tuning), optimize inference performance, troubleshoot across model/software/hardware layers, drive product feedback, support sales evaluations/POCs, and create reusable reference architectures and playbooks.
Top Skills:
AWSAzureC++CudaDockerDspyFine-TuningGCPKubernetesLangchainLlamaindexLlm OrchestrationMlopsPythonQuantizationRagRduSambastackSglangSn40LVllm
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
