Software Development Engineer - III
Embed and diagnose<\/span><\/b><\/span><\/span><\/span><\/span>
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- Sit with functions \u2014 Products, Programs, AI/ML, Engineering, Design, Communications, HR, Finance, Admin, Partnerships \u2014 to learn how work actually gets done and where the real friction is.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Distinguish problems worth solving from noise, and name them precisely before reaching for any tool.<\/span><\/span><\/span><\/span><\/span><\/span>
<\/span><\/li><\/ul>Build, wire up, and evaluate<\/span><\/b><\/span><\/span><\/span><\/span>
<\/span><\/div>- Prototype solutions hands\-on \u2014 prompts and workflows, lightweight automations, agentic tooling, or integrations across the tools we run (Gemini for Workspace, Cursor, Claude Code, Canva, Figma) and others as needed.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Evaluate honestly: measure time saved and quality against licence, token, learning, and maintenance cost \u2014 and be willing to conclude \u201cnot worth it.\u201d<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Choose the right tool, including no AI at all. Recommend non\-AI or non\-agentic fixes \u2014 a template, a script, a checklist, a process change \u2014 whenever they beat the AI option on merit.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li><\/ul>Lead the enablement effort<\/span><\/b><\/span><\/span><\/span><\/span>
<\/span><\/div>- Stand up and coach a cross\-functional network of part\-time AI champions (one or two per function); be their force multiplier and escalation point.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Own the shared playbook: validated use cases, reusable prompts, and honest post\-mortems that compound across functions.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Build durable AI fluency across the org \u2014 capability over dependency \u2014 through hands\-on enablement, not slideware.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li><\/ul>Own guardrails and cost<\/span><\/b><\/span><\/span><\/span><\/span>
<\/span><\/div>- Maintain the approved\-tools list and the data\-classification rules; run the quick security/privacy gate before sensitive or partner data touches any tool.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Vet vendors\u2019 data\-retention and model\-training terms; prefer tools that do not train on our inputs.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Own the cost picture \u2014 licences, tokens, and maintenance \u2014 and keep spend tied to demonstrated value.<\/span><\/span><\/span><\/span><\/span><\/span>
<\/li><\/ul><\/span>Requirements<\/h3>
Must\-haves<\/span><\/b><\/span>
<\/span><\/b><\/div>- A builder. Strong engineering background \u2014 you can read a codebase, write production\-quality code, and ship working prototypes yourself. (Several years of hands\-on software or ML engineering.)<\/span><\/span>
<\/span><\/span><\/li>- Fluent in modern AI. Practical, current command of LLMs, prompting, retrieval, agents, and AI\-assisted dev tools \u2014 and a realistic sense of what they can and cannot do.<\/span><\/span>
<\/span><\/span><\/li>- Security\- and privacy\-literate. You understand data\-handling risk, vendor data\-retention and training terms, and how to keep sensitive data safe \u2014 instinctively, not as an afterthought.<\/span><\/span>
<\/span><\/span><\/li>- A clear\-eyed economist of effort. You reason about cost versus benefit and total cost of ownership, and you are comfortable saying \u201cthe simpler, non\-AI option wins here.\u201d<\/span><\/span>
<\/span><\/span><\/li>- A translator and teacher. You can sit with a finance analyst or an HR partner, understand their world, and build with empathy. Excellent, simple, written communication \u2014 a Wadhwani non\-negotiable.<\/span><\/span>
<\/span><\/span><\/li>- Self\-starting and persistent. You define the problem, drive the solution, and see it through \u2014 without excuses, and with humility about what you don\u2019t yet know.<\/span><\/span>
<\/span><\/span><\/li><\/ul>Bonus<\/span><\/b><\/span>
<\/span><\/div>- Prior Forward\-Deployed, solutions\-engineering, or internal\-tools/platform experience.<\/span><\/span>
<\/span><\/span><\/li>- Exposure to the social / development sector, public health, agriculture, or government data environments.<\/span><\/span>
<\/span><\/span><\/li>- Experience standing up internal enablement, communities of practice, or developer\-experience programmes.<\/span><\/span>
<\/span><\/li><\/ul><\/span>Benefits<\/h3>
Wadhwani AI \- Full Time Employee Benefits (Not applicable for Intern or Contract Roles)<\/span><\/span><\/span><\/span><\/span>
<\/span><\/div>- Insurance Benefits \- Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Wellness Program \- Employee Assistance Program, Annual Health Check\-Ups, Onsite Medical Centers, Emergency Support System.<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Parental Support \- Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Mobility Benefits \- Travel Policy, Relocation and Deputation benefits,<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Statutory Benefits \- Employee PF Contribution, Gratuity, Leave Encashment<\/span><\/span><\/span><\/span><\/span>
<\/span><\/span><\/li>- Other Benefits \u2013 Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance.<\/span><\/span><\/span><\/span><\/span><\/span>
<\/span><\/li><\/ul>We care deeply about the well\-being of our employees and their families. You will get an opportunity to take on roles beyond a defined job description. Take a look at our website <\/span> - Wellness Program \- Employee Assistance Program, Annual Health Check\-Ups, Onsite Medical Centers, Emergency Support System.<\/span><\/span><\/span><\/span><\/span>
- Exposure to the social / development sector, public health, agriculture, or government data environments.<\/span><\/span>
- Fluent in modern AI. Practical, current command of LLMs, prompting, retrieval, agents, and AI\-assisted dev tools \u2014 and a realistic sense of what they can and cannot do.<\/span><\/span>
- Vet vendors\u2019 data\-retention and model\-training terms; prefer tools that do not train on our inputs.<\/span><\/span><\/span><\/span><\/span>
- Own the shared playbook: validated use cases, reusable prompts, and honest post\-mortems that compound across functions.<\/span><\/span><\/span><\/span><\/span>
- Evaluate honestly: measure time saved and quality against licence, token, learning, and maintenance cost \u2014 and be willing to conclude \u201cnot worth it.\u201d<\/span><\/span><\/span><\/span><\/span>
- Distinguish problems worth solving from noise, and name them precisely before reaching for any tool.<\/span><\/span><\/span><\/span><\/span><\/span>