- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Cerebry — GenAI Implementation Engineer (AI Growth Lead).
Urgent! Cerebry — GenAI Implementation Engineer (AI Growth Lead) Job Opening In Amravati – Now Hiring Cerebry
Mission
Transform Cerebry Research designs into production-grade GenAI features —retrieval-grounded, safe, observable, and ready for seamless product rollout.
Architect, code, evaluate, and package GenAI services that power Cerebry end-to-end.
Why this is exciting (Ownership-Forward)
Founder-mindset equity.
We emphasize meaningful ownership from day one.
Upside compounds with impact.
Initial grants are designed for real participation in value creation, with refresh opportunities tied to scope and milestones.
Transparent offers.
We share the full comp picture (salary, equity targets, vesting cadence, strike/valuation context) during the process.
Long-term alignment.
Packages are crafted for builders who want to grow the platform and their stake as it scales.
What you’ll build
Retrieval & data grounding: connectors for warehouses/blobs/APIs; schema validation and PII-aware pipelines; chunking/embeddings; hybrid search with rerankers; multi-tenant index management.
Orchestration & reasoning: function/tool calling with structured outputs; controller logic for agent workflows; context/prompt management with citations and provenance.
Evaluation & observability: gold sets + LLM-as-judge; regression suites in CI; dataset/version tracking; traces with token/latency/cost attribution.
Safety & governance: input/output filtering, policy tests, prompt hardening, auditable decisions.
Performance & efficiency: streaming, caching, prompt compression, batching; adaptive routing across models/providers; fallback and circuit strategies.
Product-ready packaging: versioned APIs/SDKs/CLIs, Helm/Terraform, config schemas, feature flags, progressive delivery playbooks.
Outcomes you’ll drive
Quality: higher factuality, task success, and user trust across domains.
Speed: rapid time-to-value via templates, IaC, and repeatable rollout paths.
Unit economics: measurable gains in latency and token efficiency at scale.
Reliability: clear SLOs, rich telemetry, and smooth, regression-free releases.
Reusability: template repos, connectors, and platform components adopted across product teams.
How you’ll work
Collaborate asynchronously with Research, Product, and Infra/SRE.
Share designs via concise docs and PRs; ship behind flags; measure, iterate, and document.
Enable product teams through well-factored packages, SDKs, and runbooks.
Tech you’ll use
LLMs & providers: OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock; targeted OSS where it fits.
Orchestration/evals: LangChain/LlamaIndex or lightweight custom layers; test/eval harnesses.
Retrieval: pgvector/FAISS/Pinecone/Weaviate; hybrid search + rerankers.
Services & data: Python (primary), TypeScript; FastAPI/Flask/Express; Postgres/BigQuery; Redis; queues.
Ops: Docker, CI/CD, Terraform/CDK, metrics/logs/traces; deep experience in at least one of AWS/Azure/GCP.
What you bring
A track record of shipping and operating GenAI/ML-backed applications in production.
Strong Python , solid SQL , and systems design skills (concurrency, caching, queues, backpressure).
Hands-on RAG experience (indexing quality, retrieval/reranking) and function/tool use patterns.
Experience designing eval pipelines and using telemetry to guide improvements.
Clear, concise technical writing (design docs, runbooks, PRs).
Success metrics
Evaluation scores (task success, factuality) trending upward
Latency and token-cost improvements per feature
SLO attainment and incident trends
Adoption of templates/connectors/IaC across product teams
Clarity and usage of documentation and recorded walkthroughs
Hiring process
Focused coding exercise (2–3h): ingestion → retrieval → tool-calling endpoint with tests, traces, and evals
Systems design (60m): multi-tenant GenAI service, reliability, and rollout strategy
GenAI deep dive (45m): RAG, guardrails, eval design, and cost/latency tradeoffs
Docs review (30m): discuss a short design doc or runbook you’ve written (or from the exercise)
Founder conversation (30m)
Apply
Share links to code (GitHub/PRs/gists) or architecture docs you authored, plus a brief note on a GenAI system you built—problem, approach, metrics, and improvements over time.
Email: info@cerebry.co
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Cerebry GenAI Potential: Insight & Career Growth Guide
Real-time Cerebry GenAI Jobs Trends in Amravati, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Cerebry GenAI in Amravati, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 9443 jobs in India and 74 jobs in Amravati. This comprehensive analysis highlights market share and opportunities for professionals in Cerebry GenAI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Cerebry is currently hiring and seeking a Cerebry — GenAI Implementation Engineer (AI Growth Lead) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Cerebry — GenAI Implementation Engineer (AI Growth Lead) Jobs Amravati.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cerebry adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Cerebry — GenAI Implementation Engineer (AI Growth Lead) Jobs India varies, but the pay scale is rated "Standard" in Amravati. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Cerebry — GenAI Implementation Engineer (AI Growth Lead) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Cerebry — GenAI Implementation Engineer (AI Growth Lead), consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Cerebry — GenAI Implementation Engineer (AI Growth Lead) interview at Cerebry, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cerebry's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Cerebry — GenAI Implementation Engineer (AI Growth Lead) is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!