Searce Inc
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Ahmedabad · Hybrid · 1-3 Yrs · 5 days ago
Information Technology Support Services · 1001 to 5000 Employees · San Francisco, US
We're NOT your average 9 to 5; work strictly within your defined scope, work on medieval tools & technologies, CC every time you write an email, kill time with some water cooler gossip, and then head home blaming all your life problems on the traffic kind of a company. We are SEARCE, meaning 'a fine sieve', and we aim 'to refine, to analyze, to improve'. As improvers, we are passionate and driven by the desire to improve to the finest degree of excellence, focussing on 'solving for better' every time. We are driven by our culture code of being HAPPIER at heart- Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. No, Happier is not just our glassdoor facade - it's an inherent part of being a Searcian. Searce is a new-age cloud consulting organization working on cutting-edge technologies that empower clients to futurify their businesses, leveraging Cloud, AI & Analytics. Our team of cloud enthusiasts specializes in working with advanced cloud infra techs such as Kubernetes, Istio, Anthos, etc., across Google Cloud and AWS while successfully implementing Infra and Data modernization journey's across Digital Natives, Corporates and Enterprises by solving complex business challenges. Invested in empowering our partners to leverage cloud-enabled business transformation capabilities, our expertise in cloud modernization, data and analytics, software engineering, advanced analytics, application modernisation, Applied AI and machine learning has enabled our customers to achieve agility, automation and enhanced the overall user experience. Some of the customers include the likes of Ibibo Group, Chicagoland Smiles Group, PulsePoint, Zapr Media Labs, The Coaching Manual, Logically, Tata Steel, Flipkart, Inshorts, Rapido, Kirloskar, among others. For us, clients aren't just a sales target but an opportunity for us to transform the world and empower it with uniquely crafted solutions. In short - We're a HAPPIER Jarvis to a client's Iron Man. All in all, we're a dedicated team of solvers, improvers, and futurists who believe in being better than yesterday. Our futurism extends to personal and holistic development as well, and this school of thought is further perpetuated by our in-house "Better living" initiatives. You're probably finding ways to know if we'll be a good fit for you (and likewise). Well, there's only one way to find out. See you on our side….potential Improver!!
Hiring: Engineering
What employees say
+ Good Social Environment and approach easy
− Inflated CTC as compared to actual base salary
More reviews on the company profile.
Interview experience · Senior Cloud Engineer
5 rounds each end evry round is very good my interview was on Google cloud platform and I was been interviewed on real time questions and troubleshooting questions and scenario based questions.
Average difficulty · India · 280 reports
More interview insightsJob description
Overview
Forward-Deployed AI Engineer | Outcome Engineering | Mid-senior
Responsibilities
- Own the POC end to end: Scope it against an outcome metric agreed upfront, build it on real client data, and demo working software.
- Win the room with code: Run workshops and demos for CxOs and engineers where the thing on screen is the thing being sold.
- Architect the system: Orchestrate with Google ADK, Claude Agent SDK or OpenAI Agents SDK. Connect agents to enterprise data, APIs and business systems through standard tool and context interfaces (MCP). Handle sessions, memory, vector and state storage, and sandboxed tool execution.
- Make it deterministic where it must be: Output validation, tool routing, fallbacks and hybrid model routing.
- Ship the evals before the agent: Evaluation suites and tracing are part of the build, tracked as eval pass rate.
- Run it inside enterprise IT: Turn the reference architecture into a secure, observable production system. Success is tracked as POC-to-production conversion.
- Tune for performance and cost: Across Google, Anthropic and OpenAI stacks, tracked as cost per task.
- Stay until it is real: Monitor drift, bias and privacy, and report the client's outcome number back to the client.
- Be the engineer the CxO trusts: Say what not to build as readily as what to build.
- Leave patterns behind: Reference architectures, eval sets and agent templates that make the next Searce deployment faster. Track what is emerging across ADK, Claude Agent SDK and OpenAI Agents SDK, and adopt only what survives production.
- Problem Framing: Turns a vague ambition into a testable hypothesis with a number attached.
- Systems Judgment: Knows when the answer is an agent, a workflow, a script, or "don't build it."
- Technical Storytelling: Explains an agent's behavior and trade-offs to a CFO and to a staff engineer without changing the substance.
- Commercial Sense: Ties architecture choices to cost, revenue and risk.
- Ownership Under Ambiguity: Moves forward in messy client environments with no spec and no hand-holding.
- Agentic Systems Depth: Hands-on with Google ADK, Claude Agent SDK, OpenAI Agents SDK or LangGraph. Fluent in MCP and A2A, session and memory management, and sandboxed execution. Computer-use agents are a plus.
- Evals and Observability: You have built evaluation harnesses and agent tracing for systems in production.
- Retrieval and State: RAG, vector stores, prompt caching, hybrid model routing.
- Production Engineering: Strong Python, APIs and microservices. Delivery on GCP (Vertex AI), AWS (Bedrock, SageMaker) or Azure (OpenAI/Foundry), with enterprise security and responsible-AI practice (monitoring, bias, privacy).
- AI-Native Build Workflow: Ships daily with Claude Code, Cursor or GitHub Copilot, and knows where not to trust them.
Qualifications
- 5+ years in software engineering, including 2+ shipping LLM or agent systems to production.
- Bachelor's degree in Computer Science, Engineering or a related field.
- At least one production agent, copilot or AI workflow with real users, and the metric it moved.
- Delivery in a complex or regulated enterprise environment.
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Job application FAQ
Last updated 31 October 2026
- How do I apply for Forward deployed AI engineer at Searce Inc?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Searce Inc may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Forward deployed AI engineer remote or on-site in Ahmedabad, Gujarat?
- This listing is marked hybrid with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this Forward deployed AI engineer role at Searce Inc?
- This is a mid-level Forward deployed AI engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.