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[Hiring] Agent Engineer @Mercor

Remote - US, CA, BR, CO, AR, CL, VE, BO, EC, GF, GY, PY, PE, SR, UY, MX, CR, SV, GT, HN, NI, PA, DO, PR, BS, GP, HT, JM, MQ, MS, GB, DE, FR, EE, PT, HU, PL, UA, RO, BG, CZ, SK, BY, MD, SE, GR, BE, IT, IE, CH, NL, FI, MT, DK, LT, HR, ES, AT, BA, IS, LU, MK, ME, NO, RS, SI, AL, CY, LV, MC, ZA, EG, DZ, AO, BJ, BW, BF, BI, CM, CV, CF, TD, CG, CI, CD, GQ, ER, ET, GA, GM, GH, GN, GW, KE, LS, LR, LY, MG, MW, ML, MR, MU, YT, MA, MZ, NA, NE, NG, RE, RW, SN, SC, SL, SO, SS, SD, SZ, TZ, TG, TN, UG, ZM, ZW, GE, TR, IL, AE, AM, AZ, BH, IQ, JO, KW, LB, OM, QA, SA, PS, YE, IN, JP, PH, PK, TH, SG, VN, TW, ID, KH, LA, MY, MM, KR, CN, AF, BD, BT, KZ, KG, MV, MN, NP, LK, TJ, TM, UZ, AU, PG, KI, PW, PF, TV, NZ
$100–$500
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Job at a glance

$100–$500
Salary
Remote - US, CA, BR, CO, AR, CL, VE, BO, EC, GF, GY, PY, PE, SR, UY, MX, CR, SV, GT, HN, NI, PA, DO, PR, BS, GP, HT, JM, MQ, MS, GB, DE, FR, EE, PT, HU, PL, UA, RO, BG, CZ, SK, BY, MD, SE, GR, BE, IT, IE, CH, NL, FI, MT, DK, LT, HR, ES, AT, BA, IS, LU, MK, ME, NO, RS, SI, AL, CY, LV, MC, ZA, EG, DZ, AO, BJ, BW, BF, BI, CM, CV, CF, TD, CG, CI, CD, GQ, ER, ET, GA, GM, GH, GN, GW, KE, LS, LR, LY, MG, MW, ML, MR, MU, YT, MA, MZ, NA, NE, NG, RE, RW, SN, SC, SL, SO, SS, SD, SZ, TZ, TG, TN, UG, ZM, ZW, GE, TR, IL, AE, AM, AZ, BH, IQ, JO, KW, LB, OM, QA, SA, PS, YE, IN, JP, PH, PK, TH, SG, VN, TW, ID, KH, LA, MY, MM, KR, CN, AF, BD, BT, KZ, KG, MV, MN, NP, LK, TJ, TM, UZ, AU, PG, KI, PW, PF, TV, NZ
Location
Remote
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Ai Engineer jobs
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Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Agent Engineer Type: Contract Compensation: $100–$500/hour Location: Remote Build and operate LLM agents in production environments. Ensure agent reliability and evaluate performance improvements.

Manage long-running processes like scheduled jobs and cloud sandboxes. Develop internal monoagents and shared company memory systems. Enhance agent visibility and cost tracking for organizational use. Work independently and asynchronously to meet project goals. Qualifications Experience in building and operating LLM agents. Proven track record of improving agent reliability and performance. Company Description For details about the interview process and platform information, please check: Interview Process For any help or support, reach out to: [email protected] PS: Our team reviews applications daily.

Please complete your AI interview and application steps to be considered for this opportunity.

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